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REME TECHNOLOGY
Reflective Electromagnetic Energy
REME is a high-energy, reflective light and hydrogen ion based device that utilizes an electro magnetic beam of energy to purify water, air or food. REME is far superior to PHI as it provides the same efficiency 8 to 12 times faster, and has the added benefit of particulate removal. REME has exceeded PHI in every test,airborne as well as surfaces. One of the main advantages of REME is the use of a sacrificial charged collection target that collects particulates for safe, easy disposal.
The collector acts as a grounded electrostatic panel, using the accumulated electrostatic charges. The excess positive charges are draw out of the collector due to the natural differential created by the earth ground connection, thus leaving the airstream with a neutral charge.
The theory of operation has to do with the process of triboelectric charging, resulting in one object gaining electrons on its surface, and therefore becoming negatively charged, and another object losing electrons from its surface, and therefore becoming positively charged. Air tends to charge positively. As air flows past the collector, it tends to become more positive, the filter materials more negative, leading to a regenerative charging effect. This, in turn, continuously renews the materials static charge allowing it to attract oppositely charged contaminates within the airstream.
As the air flows past the REME generator, we then introduce a large amount primarily negative charged ions with an associated lower amount of positively charge ions being formed via the AOP process, thereby also increasing the net charge of the particles in the air, causing them to not only increase their attraction to the REME collector (up to a 93% reduction), but also increasing their chance of being trapped by more conventional filters as well (up to 73% reduction).
Yunus Topcan has been working as a Researcher and Developer at RFG, and he developed REME for RGF. REME passed the tests successfully.
e-mail: mailto:Yunus.Topcan@asu.edu
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